Assessing ozone dynamics during the 2023 summer STAQS field campaign using synergistic observations and model simulations
- 1Ames Research Center (Mountain View, United States of America)
Abstract
NASA's Tropospheric Emissions: Monitoring of Pollution (TEMPO) geostationary satellite sensor provides high temporal and spatial resolution measurements critical for monitoring air quality. During the Synergistic TEMPO Air Quality Science (STAQS) component of the 2023 AGES+ campaign, extensive surface, airborne, and remote-sensing observations were collected over the New York City/Long Island Sound region, enabling comprehensive investigation of ozone and its precursors, including nitrogen dioxide (NO ₂ ) and formaldehyde (HCHO). Evaluating TEMPO (version 3) NO ₂ and HCHO column retrievals against Pandora and GEO-CAPE Airborne Simulator (GCAS) observations, based on the limited number of coincident flight days available, shows TEMPO can capture urban-suburban pollution gradients and exhibits biases comparable to previous satellite validation studies with strong NO ₂ column correlations ( R ≈0.79–0.81), though sharp transitions between high and low emission regions remain challenging. The high-resolution (1.33 km × 1.33 km) WRF-Chem simulation reproduces the major spatiotemporal patterns of surface ozone and NO ₂ ( R ≈0.56–0.73), supporting its use to fill observational gaps. Integrating TEMPO, WRF-Chem, in situ measurements, and ozone and wind lidar observations, we characterize the spatiotemporal ozone dynamics under different pollution regimes. High-pollution days involve early urban precursor accumulation and sea-breeze-driven coastal recirculation of pollutant-rich air. Moderate days exhibit localized enhancements driven by transport, such as downwind plume transport, while low-pollution days show efficient dispersion and limited ozone formation. This multi-platform framework highlights the importance of resolving fine-scale variability in coastal and transition zones and illustrates TEMPO's potential for improving ozone forecasting and mitigation in complex environments.
Versions
Related
- The ATMOSFER campaign: synergistic observations for the preparation of the ESA FORUM mission
- Synergistic Wetting Mechanisms of Mixed Surfactants at Different Mixing Ratios on Anthracite: Insights from Molecular Dynamics Simulations
- Multi-Band, Multi-GNSS Polarimetric GNSS-R Observations From SCOMAG Airborne Campaign
- GLAMODAT (v1.0): a model-data comparison tool for assessing transient palaeoglacier simulations
- Aerosol vertical distributions shaped by boundary layer dynamics in a coastal urban environment: insights from the TRACER campaign
BibTeX
@article{bernier2026assessing,
title = {{Assessing ozone dynamics during the 2023 summer STAQS field campaign using synergistic observations and model simulations}},
author = {Claudia M. Bernier and Matthew S. Johnson and John Sullivan and Guillaume Gronoff and Daniel Phoenix and Fred Moshary and Raul Alvarez and Brandi McCarty and Andrew Langford and Christoph Senff and Sunil Baidar and Laura Judd},
journal = {Atmospheric Chemistry and Physics},
year = {2026},
month = oct,
doi = {10.5194/acp-26-13795-2026},
url = {https://acp.copernicus.org/articles/26/13795/2026/},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Assessing ozone dynamics during the 2023 summer STAQS field campaign using synergistic observations and model simulations
AU - Claudia M. Bernier
AU - Matthew S. Johnson
AU - John Sullivan
AU - Guillaume Gronoff
AU - Daniel Phoenix
AU - Fred Moshary
AU - Raul Alvarez
AU - Brandi McCarty
AU - Andrew Langford
AU - Christoph Senff
AU - Sunil Baidar
AU - Laura Judd
PY - 2026
DA - 2026/10/02
JO - Atmospheric Chemistry and Physics
DO - 10.5194/acp-26-13795-2026
UR - https://acp.copernicus.org/articles/26/13795/2026/
AB - NASA's Tropospheric Emissions: Monitoring of Pollution (TEMPO) geostationary satellite sensor provides high temporal and spatial resolution measurements critical for monitoring air quality. During the Synergistic TEMPO Air Quality Science (STAQS) component of the 2023 AGES+ campaign, extensive surface, airborne, and remote-sensing observations were collected over the New York City/Long Island Sound region, enabling comprehensive investigation of ozone and its precursors, including nitrogen dioxide (NO ₂ ) and formaldehyde (HCHO). Evaluating TEMPO (version 3) NO ₂ and HCHO column retrievals against Pandora and GEO-CAPE Airborne Simulator (GCAS) observations, based on the limited number of coincident flight days available, shows TEMPO can capture urban-suburban pollution gradients and exhibits biases comparable to previous satellite validation studies with strong NO ₂ column correlations ( R ≈0.79–0.81), though sharp transitions between high and low emission regions remain challenging. The high-resolution (1.33 km × 1.33 km) WRF-Chem simulation reproduces the major spatiotemporal patterns of surface ozone and NO ₂ ( R ≈0.56–0.73), supporting its use to fill observational gaps. Integrating TEMPO, WRF-Chem, in situ measurements, and ozone and wind lidar observations, we characterize the spatiotemporal ozone dynamics under different pollution regimes. High-pollution days involve early urban precursor accumulation and sea-breeze-driven coastal recirculation of pollutant-rich air. Moderate days exhibit localized enhancements driven by transport, such as downwind plume transport, while low-pollution days show efficient dispersion and limited ozone formation. This multi-platform framework highlights the importance of resolving fine-scale variability in coastal and transition zones and illustrates TEMPO's potential for improving ozone forecasting and mitigation in complex environments.
SN - 1680-7324
ER -